CN109408561A - Business Name matching process and device - Google Patents
Business Name matching process and device Download PDFInfo
- Publication number
- CN109408561A CN109408561A CN201811208216.1A CN201811208216A CN109408561A CN 109408561 A CN109408561 A CN 109408561A CN 201811208216 A CN201811208216 A CN 201811208216A CN 109408561 A CN109408561 A CN 109408561A
- Authority
- CN
- China
- Prior art keywords
- field name
- identified
- business
- name
- fuzzy matching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the present application provides a kind of Business Name matching process and device, applied to computer equipment, the computer equipment includes database, which comprises according to time dimension, business division, business scenario and the business tine of input that user selects, obtains field name to be identified；Judge to whether there is and the matched field name of field name to be identified in the database；If it exists, then the matched field name is exported；If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple corresponding fuzzy matching field names is exported according to pre-set priority；Selection operation of the user based on the multiple corresponding fuzzy matching field name is responded, using the field name selected as matching field name.Using method provided by the present application, unification can be carried out to the call of data under multiple application environments, improve the efficiency of statistical data, reduce unnecessary workload.
Description
Technical field
This application involves index names to identify field, in particular to Business Name matching process and device.
Background technique
General for the ever-growing use of database with the rapid development of internet, Internet of Things in every field, people use
Database stores data, arranged and is shared.And the generation of various reports, report can be also carried out according to these data.
Now currently, people are when arranging data, due to different links, different operators is for same industry
The title call of business is all different, so handover between links and statistically, there is a problem that very big.Due to upper
The presence for stating problem, arrangement and storage for data in whole process increase a large amount of workload, to practical business processing
It will cause and obscure, or even cause great business careless mistake.
It is current problem to be solved in view of this, how to realize the specification named in the database each business.
Summary of the invention
The application's is designed to provide a kind of Business Name matching process and device.
In a first aspect, the application provides a kind of Business Name matching process, it is applied to computer equipment, the computer is set
Standby includes database, which comprises
According to time dimension, business division, business scenario and the business tine of input that user selects, word to be identified is obtained
Section name, wherein the time dimension constitutes the business hours information of the field name to be identified, described in the business division is constituted
The service type information of field name to be identified, the business scenario constitute the specific business scenario of the field name to be identified, institute
State the specific business that business tine constitutes the field name to be identified；
Judge to whether there is and the matched field name of field name to be identified in the database；
If it exists, then the matched field name is exported；
If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple right according to pre-set priority output
Answer fuzzy matching field name；
Respond selection operation of the user based on the multiple corresponding fuzzy matching field name, using the field name selected as
With field name.
Optionally, it is described if it does not exist, then fuzzy matching is carried out to the field name to be identified, and according to pre-set priority
Export corresponding fuzzy matching field name, comprising:
Fuzzy matching is carried out to the field name to be identified, according to segmentation methods, calculates the field name to be identified and institute
State the similarity of field name in database；
If the similarity being calculated is higher than default similarity, fuzzy matching field name is exported according to pre-set priority；
If the similarity being calculated is lower than default similarity, neologisms are generated according to the field name to be identified and are stored in
Database, and export new matching field name.
Optionally, it is described if it does not exist, then fuzzy matching is carried out to the field name to be identified, and according to pre-set priority
Export multiple corresponding fuzzy matching field names, further includes:
According to business division, business scenario and business tine；Department, position locating for user, grade；Field name application time
Number, history confirmation result obtain the multiple corresponding fuzzy matching field name priority.
Optionally, raw according to the field name to be identified if the similarity being calculated is lower than default similarity
At neologisms and it is stored in database, and exports new matching field name, comprising:
According to the text feature of the field name to be identified, classify to the affiliated domain of field name to be identified；
Sorted field name deposit database to be identified is generated into neologisms；
It is exported the neologisms as new matching field name.
Optionally, the method also includes:
The fuzzy matching field name priority that user in multiple corresponding fuzzy matching fields is selected improves；
The non-selected fuzzy matching field priority of user is reduced.
Second aspect, the application provide a kind of Business Name coalignment, are applied to computer equipment, and the computer is set
Standby includes database, and described device includes:
MIM message input module, the business of time dimension, business division, business scenario and input for being selected according to user
Content obtains field name to be identified, wherein the time dimension constitutes the business hours information of the field name to be identified, institute
The service type information that business division constitutes the field name to be identified is stated, the business scenario constitutes the field name to be identified
Specific business scenario, the business tine constitutes the specific business of the field name to be identified；
Judgment module whether there is and the matched field name of field name to be identified in the database for judging；
If it exists, then the matched field name is exported；
If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple right according to pre-set priority output
Answer fuzzy matching field name；
Feedback module will be selected for responding selection operation of the user based on the multiple corresponding fuzzy matching field name
Field name as matching field name.
Optionally, the judgment module is specifically used for:
Fuzzy matching is carried out to the field name to be identified, according to segmentation methods, calculates the field name to be identified and institute
State the similarity of field name in database；
If the similarity being calculated is higher than default similarity, fuzzy matching field name is exported according to pre-set priority；
If the similarity being calculated is lower than default similarity, neologisms are generated according to the field name to be identified and are stored in
Database, and export new matching field name.
Optionally, the judgment module is specifically also used to:
According to business division, business scenario and business tine；Department, position locating for user and grade；Field name application time
Several and history confirmation result obtains the multiple corresponding fuzzy matching field name priority.
Optionally, the judgment module is specifically used for:
According to the text feature of the field name to be identified, classify to the affiliated domain of field name to be identified；
Sorted field name deposit database to be identified is generated into neologisms；
It is exported the neologisms as new matching field name.
Optionally, described device further include:
Preferential adjustment module, the fuzzy matching field name for selecting user in multiple corresponding fuzzy matching fields are preferential
Grade improves；
It is also used to reduce the non-selected fuzzy matching field priority of user.
Compared with prior art, beneficial effect provided by the present application includes: that the embodiment of the present application provides a kind of Business Name
Method of completing the square and device are applied to computer equipment, and the computer equipment includes database, which comprises according to user
Time dimension, business division, business scenario and the business tine of input of selection, obtain field name to be identified, wherein when described
Between dimension constitute the business hours information of the field name to be identified, the business division constitutes the industry of the field name to be identified
Service type information, the business scenario constitute the specific business scenario of the field name to be identified, and the business tine constitutes institute
State the specific business of field name to be identified；Judge to whether there is and the matched field of field name to be identified in the database
Name；If it exists, then the matched field name is exported；If it does not exist, then fuzzy matching is carried out to the field name to be identified, and
Multiple corresponding fuzzy matching field names are exported according to pre-set priority；It responds user and is based on the multiple corresponding fuzzy matching field
The selection operation of name, using the field name selected as matching field name.It, can be in multiple applications using method provided by the present application
Unification is carried out to the call of data under environment, the efficiency of statistical data is improved, reduces unnecessary workload.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described.It should be appreciated that the following drawings illustrates only some embodiments of the application, therefore it is not construed as pair
The restriction of range.It for those of ordinary skill in the art, without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the structural block diagram of computer equipment provided by the embodiments of the present application；
Fig. 2 is the flow diagram of Business Name matching process provided by the embodiments of the present application；
Fig. 3 is the flow diagram of a sub-step of step S204 in Fig. 2；
Fig. 4 is the flow diagram of another sub-step of step S204 in Fig. 2；
Fig. 5 is the flow diagram of whole Business Name matching process provided by the embodiments of the present application；
Fig. 6 is the schematic block diagram of Business Name coalignment provided by the embodiments of the present application；
Fig. 7 is the whole schematic block diagram of Business Name coalignment provided by the embodiments of the present application.
Icon: 100- computer equipment；110- Business Name coalignment；111- memory；112- processor；113- is logical
Believe unit；114- database；1101- MIM message input module；1102- judgment module；1103- feedback module；1104- is preferentially adjusted
Module.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described.Obviously, described embodiment is
Some embodiments of the present application, instead of all the embodiments.The application being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiments herein provided in the accompanying drawings is not intended to limit below claimed
Scope of the present application, but be merely representative of the selected embodiment of the application.Based on the embodiment in the application, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model of the application protection
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
In the description of the present application, it is to be understood that the instruction such as term " on ", "lower", "inner", "outside", "left", "right"
Orientation or positional relationship be based on the orientation or positional relationship shown in the drawings or this application product using when usually put
Orientation or positional relationship or the orientation or positional relationship that usually understands of those skilled in the art, be merely for convenience of retouching
It states the application and simplifies description, rather than the equipment of indication or suggestion meaning or element must have a particular orientation, with specific
Orientation construction and operation, therefore should not be understood as the limitation to the application.
In addition, term " first ", " second " etc. are only used for distinguishing description, it is not understood to indicate or imply relatively important
Property.
In the description of the present application, it is also necessary to which explanation is unless specifically defined or limited otherwise, " setting ", " even
Connect " etc. terms shall be understood in a broad sense, for example, " connection " may be a fixed connection, may be a detachable connection, or integrally connect
It connects；It can be mechanical connection, be also possible to be electrically connected；It can be and be directly connected to, can also be indirectly connected with by intermediary, it can
To be the connection inside two elements.For the ordinary skill in the art, can understand as the case may be above-mentioned
The concrete meaning of term in this application.
With reference to the accompanying drawing, the specific embodiment of the application is described in detail.
Fig. 1 is please referred to, Fig. 1 is the structural block diagram of computer equipment provided by the embodiments of the present application.The computer equipment
100 include Business Name coalignment 110, memory 111, processor 112, communication unit 113 and database 114.
The memory 111, processor 112, communication unit 113 and database 114 each element between each other directly or
It is electrically connected indirectly, to realize the transmission or interaction of data.For example, these elements between each other can be logical by one or more
It interrogates bus or signal wire is realized and is electrically connected.
Wherein, the memory 111 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..Wherein, memory 111 is for storing program, the processor 112 after receiving and executing instruction,
Execute described program.The communication unit 113 be used to establish by network the computer equipment 100 and other equipment (such as
User terminal) between communication connection, and for being sended and received by network progress data.
Referring to figure 2., Fig. 2 is the flow diagram of Business Name matching process provided by the embodiments of the present application.The application is real
It applies example and a kind of Business Name matching process is provided, be applied to computer equipment 100, the computer equipment 100 includes database
114, which comprises
Step S201 is obtained according to time dimension, business division, business scenario and the business tine of input that user selects
To field name to be identified.
In this embodiment, the time dimension constitutes the business hours information of the field name to be identified, the business master
Body constitutes the service type information of the field name to be identified, and the business scenario constitutes the specific industry of the field name to be identified
Business scene, the business tine constitute the specific business of the field name to be identified.
Further, user only need to be according to being pre-stored in the present embodiment for time dimension, business division and business scenario
Field name in database 114 is selected, because under normal conditions, the title of these three business is easier to be determined.And
Business tine is input by user in the present embodiment.It is most to hold since business tine is exactly in the every affairs of user's progress
Confusable part, so after being accurately defined time dimension, business division and business scenario, then to being likely to occur
The business tine part obscured is handled, and can be improved to the matched accuracy of Business Name and matching efficiency.
Further, in the present embodiment, the time dimension can specifically include the same day, this month, current year, add up；Institute
Stating type of service can specifically include finance, logistics, storage, platform；The business scenario can specifically include order made loans,
Order capital, milimeter number, transaction, contract；The business tine can specifically include the amount of money, quantity, accounting, number, title.?
In other embodiments, the time dimension, business division, business scenario and business tine can also include other corresponding categories
The affairs in domain.
Step S202 judges to whether there is and the matched field name of field name to be identified in the database 114.
Step S203, and if it exists, then export the matched field.
In the present embodiment, if user obtains after selection time dimension, business division, business scenario and incoming traffic content
To field name to be identified it is consistent with field name stored in database 114 when, it is believed that they be it is matched, at this time directly
Connect the corresponding field name of output.
Step S204 then carries out fuzzy matching to the field name to be identified, and defeated according to pre-set priority if it does not exist
Multiple corresponding fuzzy matching field names out.
Step S205 responds selection operation of the user based on the multiple corresponding fuzzy matching field name, by the word of selection
Section name is as matching field name.
Referring to figure 3., Fig. 3 is the flow diagram of a sub-step of step S204 in Fig. 2.
In the present embodiment, the step S204 includes sub-step S2041, sub-step S2042 and sub-step S2043:
Sub-step S2041 carries out fuzzy matching to the field name to be identified, according to segmentation methods, calculates described wait know
The similarity of field name in other field name and the database 114.
In the present embodiment, segmentation methods can be Jieba (stammerer) algorithm, and Jieba algorithm includes Three models.Accurately
Mode: attempting most accurately to cut, and is suitble to text analyzing.Syntype: it can all be swept at the word of word all in sentence
It describes and, speed is very fast, but not can solve ambiguity.Search engine mode: on the basis of accurate model, to long word again into
Row divides, and improves recall rate, segments suitable for search engine.And in this embodiment, it can be drawn using the search of Jieba algorithm
Mode is held up as segmentation methods.
In other embodiments, user can also use FastTEXT (Fast Text Classification device) algorithm as segmentation methods.
Sub-step S2042 is higher than default similarity, then exports fuzzy matching field name according to pre-set priority；
Sub-step S2043 then generates neologisms according to the field name to be identified and is stored in database lower than default similarity
114, and export new matching field name.
Further, it is described if it does not exist, then fuzzy matching is carried out to the field name to be identified, and according to default preferential
Grade exports multiple corresponding fuzzy matching field names, further includes:
According to business division, business scenario and business tine；Department, position locating for user, grade；Field name application time
Number, history confirmation result obtain the multiple corresponding fuzzy matching field name priority.
Referring to figure 4., Fig. 4 is the flow diagram of another sub-step of step S204 in Fig. 2.
In the present embodiment, step S204 further includes sub-step S2044, sub-step S2045 and sub-step S2044:
Sub-step S2044, according to the text feature of the field name to be identified, to the affiliated domain of field name to be identified into
Row classification；
Sorted field name deposit database 114 to be identified is generated neologisms by sub-step S2045；
Sub-step S2046 is exported the neologisms as new matching field name.
In the present embodiment, when the similarity of field name is lower than default similarity, neologisms can be generated, and to the new of generation
Word carries out the classification in affiliated domain.For example, in the present embodiment, the affiliated domain for the neologisms that one is generated may include business domains,
Computational domain and time-domain.Business domains may include the amount of money, platform；Computational domain may include conversion ratio, utilization rate；Time-domain can be with
Including duration.It in other embodiments, can also include other field to the classification in the affiliated domain of neologisms.
Referring to figure 5., Fig. 5 is the flow diagram 5 of whole Business Name matching process provided by the embodiments of the present application.At this
Apply in the embodiment provided, the method also includes following steps:
Step S206, the fuzzy matching field name priority that user in multiple corresponding fuzzy matching fields is selected improve；
Step S207 reduces the non-selected fuzzy matching field priority of user.
In the present embodiment, the fuzzy matching field result obtained by fuzzy matching can be it is multiple, and according to preferential
Grade sequence is supplied to user, and user selects the highest option of name-matches degree according to practical business, is calculated by machine and artificial
Judgement, can be obviously improved the matched accuracy of field name.
Fig. 6 is please referred to, Fig. 6 is the schematic block diagram of Business Name coalignment 110 provided by the embodiments of the present application.In this reality
It applies example and a kind of Business Name coalignment 110 is provided, be applied to computer equipment 100, the computer equipment 100 includes data
Library 114, described device include:
MIM message input module 1101, time dimension, business division, business scenario and input for being selected according to user
Business tine obtains field name to be identified, wherein the time dimension constitutes the business hours letter of the field name to be identified
Breath, the business division constitute the service type information of the field name to be identified, and the business scenario constitutes described to be identified
The specific business scenario of field name, the business tine constitute the specific business of the field name to be identified；
Judgment module 1102, for judging in the database 114 with the presence or absence of matched with the field name to be identified
Field name；
If it exists, then the matched field name is exported；
If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple right according to pre-set priority output
Answer fuzzy matching field name；
Feedback module 1103 will for responding selection operation of the user based on the multiple corresponding fuzzy matching field name
The field name selected is as matching field name.
Further, the judgment module 1102 is specifically used for:
Fuzzy matching is carried out to the field name to be identified, according to segmentation methods, calculates the field name to be identified and institute
State the similarity of field name in database 114；
If the similarity being calculated is higher than default similarity, fuzzy matching field name is exported according to pre-set priority；
If the similarity being calculated is lower than default similarity, neologisms are generated according to the field name to be identified and are stored in
Database 114, and export new matching field name.
Further, the judgment module 1102 is specifically also used to:
According to business division, business scenario and business tine；Department, position locating for user and grade；Field name application time
Several and history confirmation result obtains the multiple corresponding fuzzy matching field name priority.
Further, the judgment module 1102 is specifically used for:
According to the text feature of the field name to be identified, classify to the affiliated domain of field name to be identified；
Sorted field name deposit database 114 to be identified is generated into neologisms；
It is exported the neologisms as new matching field name.
Fig. 7 is please referred to, Fig. 7 is the whole schematic block diagram of Business Name coalignment 110 provided by the embodiments of the present application.?
In the present embodiment, described device further include:
Preferential adjustment module 1104, the fuzzy matching field name for selecting user in multiple corresponding fuzzy matching fields
Priority improves；
It is also used to reduce the non-selected fuzzy matching field priority of user.
In conclusion the embodiment of the present application provides a kind of Business Name matching process and device, it is applied to computer equipment,
The computer equipment includes database, which comprises according to the time dimension of user's selection, business division, business field
The business tine of scape and input obtains field name to be identified, wherein the time dimension constitutes the industry of the field name to be identified
Business temporal information, the business division constitute the service type information of the field name to be identified, and the business scenario constitutes institute
The specific business scenario of field name to be identified is stated, the business tine constitutes the specific business of the field name to be identified；Judgement
It whether there is and the matched field name of field name to be identified in the database；If it exists, then the matched word is exported
Section name；If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple corresponding moulds is exported according to pre-set priority
Paste matching field name；Selection operation of the user based on the multiple corresponding fuzzy matching field name is responded, by the field name of selection
As matching field name.Using method provided by the present application, unification can be carried out to the call of data under multiple application environments,
The efficiency for improving statistical data, reduces unnecessary workload.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. a kind of Business Name matching process, which is characterized in that be applied to computer equipment, the computer equipment includes data
Library, which comprises
According to time dimension, business division, business scenario and the business tine of input that user selects, field to be identified is obtained
Name, wherein the time dimension constitutes the business hours information of the field name to be identified, the business division constitute it is described to
Identify the service type information of field name, the business scenario constitutes the specific business scenario of the field name to be identified, described
Business tine constitutes the specific business of the field name to be identified；
Judge to whether there is and the matched field name of field name to be identified in the database；
If it exists, then the matched field name is exported；
If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple corresponding moulds is exported according to pre-set priority
Paste matching field name；
Selection operation of the user based on the multiple corresponding fuzzy matching field name is responded, using the field name selected as matching word
Section name.
2. the method according to claim 1, wherein it is described if it does not exist, then to the field name to be identified into
Row fuzzy matching, and corresponding fuzzy matching field name is exported according to pre-set priority, comprising:
Fuzzy matching is carried out to the field name to be identified, according to segmentation methods, calculates the field name to be identified and the number
According to the similarity of field name in library；
If the similarity being calculated is higher than default similarity, fuzzy matching field name is exported according to pre-set priority；
If the similarity being calculated is lower than default similarity, neologisms are generated according to the field name to be identified and are stored in data
Library, and export new matching field name.
3. the method according to claim 1, wherein it is described if it does not exist, then to the field name to be identified into
Row fuzzy matching, and multiple corresponding fuzzy matching field names are exported according to pre-set priority, further includes:
According to business division, business scenario and business tine；Department, position locating for user, grade；Field name number of applications, goes through
History confirmation result obtains the multiple corresponding fuzzy matching field name priority.
4. according to the method described in claim 2, it is characterized in that, if the similarity being calculated is similar lower than presetting
Degree then generates neologisms according to the field name to be identified and is stored in database, and exports new matching field name, comprising:
According to the text feature of the field name to be identified, classify to the affiliated domain of field name to be identified；
Sorted field name deposit database to be identified is generated into neologisms；
It is exported the neologisms as new matching field name.
5. the method according to claim 1, wherein the method also includes:
The fuzzy matching field name priority that user in multiple corresponding fuzzy matching fields is selected improves；
The non-selected fuzzy matching field priority of user is reduced.
6. a kind of Business Name coalignment, which is characterized in that be applied to computer equipment, the computer equipment includes data
Library, described device include:
In the business of MIM message input module, time dimension, business division, business scenario for being selected according to user and input
Hold, obtains field name to be identified, wherein the time dimension constitutes the business hours information of the field name to be identified, described
Business division constitutes the service type information of the field name to be identified, and the business scenario constitutes the field name to be identified
Specific business scenario, the business tine constitute the specific business of the field name to be identified；
Judgment module whether there is and the matched field name of field name to be identified in the database for judging；
If it exists, then the matched field name is exported；
If it does not exist, then fuzzy matching is carried out to the field name to be identified, and multiple corresponding moulds is exported according to pre-set priority
Paste matching field name；
Feedback module, for responding selection operation of the user based on the multiple corresponding fuzzy matching field name, by the word of selection
Section name is as matching field name.
7. device according to claim 6, which is characterized in that the judgment module is specifically used for:
Fuzzy matching is carried out to the field name to be identified, according to segmentation methods, calculates the field name to be identified and the number
According to the similarity of field name in library；
If the similarity being calculated is higher than default similarity, fuzzy matching field name is exported according to pre-set priority；
If the similarity being calculated is lower than default similarity, neologisms are generated according to the field name to be identified and are stored in data
Library, and export new matching field name.
8. device according to claim 6, which is characterized in that the judgment module is specifically also used to:
According to business division, business scenario and business tine；Department, position locating for user and grade；Field name number of applications and
History confirmation result obtains the multiple corresponding fuzzy matching field name priority.
9. device according to claim 7, which is characterized in that the judgment module is specifically used for:
According to the text feature of the field name to be identified, classify to the affiliated domain of field name to be identified；
Sorted field name deposit database to be identified is generated into neologisms；
It is exported the neologisms as new matching field name.
10. device according to claim 6, which is characterized in that described device further include:
Preferential adjustment module, the fuzzy matching field name priority for selecting user in multiple corresponding fuzzy matching fields mention
It is high；
It is also used to reduce the non-selected fuzzy matching field priority of user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811208216.1A CN109408561A (en) | 2018-10-17 | 2018-10-17 | Business Name matching process and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811208216.1A CN109408561A (en) | 2018-10-17 | 2018-10-17 | Business Name matching process and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109408561A true CN109408561A (en) | 2019-03-01 |
Family
ID=65468445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811208216.1A Pending CN109408561A (en) | 2018-10-17 | 2018-10-17 | Business Name matching process and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109408561A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008193A (en) * | 2019-04-16 | 2019-07-12 | 成都四方伟业软件股份有限公司 | Data normalization method and device |
| CN110119319A (en) * | 2019-03-29 | 2019-08-13 | 北京康爱营养科技股份有限公司 | A kind of Interface Matching method and device |
| CN110348974A (en) * | 2019-05-21 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Financial statement treating method and apparatus |
| CN110659287A (en) * | 2019-09-11 | 2020-01-07 | 北京亚信数据有限公司 | Method for processing field names of table and computing equipment |
| CN111079434A (en) * | 2019-12-05 | 2020-04-28 | 苏州朗动网络科技有限公司 | Method, equipment and storage medium for automatic company name mapping |
| CN111563142A (en) * | 2020-07-14 | 2020-08-21 | 成都四方伟业软件股份有限公司 | SQL automatic benchmarking matching method and device |
| CN113242329A (en) * | 2021-04-30 | 2021-08-10 | 平安证券股份有限公司 | Mapping relation sending method and device based on fuzzy matching and computer equipment |
| CN113626671A (en) * | 2021-08-12 | 2021-11-09 | 平安国际智慧城市科技股份有限公司 | Data classification method, device and equipment based on character matching and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102651013A (en) * | 2012-03-23 | 2012-08-29 | 上海安捷力信息系统有限公司 | Method and system for extracting area information from enterprise name data |
| US20150193423A1 (en) * | 2011-10-04 | 2015-07-09 | Microsoft Technology Licensing, Llc | Automatic relationship detection for spreadsheet data items |
| CN107783950A (en) * | 2017-04-11 | 2018-03-09 | 平安医疗健康管理股份有限公司 | Package insert processing method and processing device |
| CN108108373A (en) * | 2016-11-25 | 2018-06-01 | 阿里巴巴集团控股有限公司 | A kind of name-matches method and device |
-
2018
- 2018-10-17 CN CN201811208216.1A patent/CN109408561A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150193423A1 (en) * | 2011-10-04 | 2015-07-09 | Microsoft Technology Licensing, Llc | Automatic relationship detection for spreadsheet data items |
| CN102651013A (en) * | 2012-03-23 | 2012-08-29 | 上海安捷力信息系统有限公司 | Method and system for extracting area information from enterprise name data |
| CN108108373A (en) * | 2016-11-25 | 2018-06-01 | 阿里巴巴集团控股有限公司 | A kind of name-matches method and device |
| CN107783950A (en) * | 2017-04-11 | 2018-03-09 | 平安医疗健康管理股份有限公司 | Package insert processing method and processing device |
Non-Patent Citations (3)
| Title |
|---|
| 化柏林: "《文本信息分析与全文检索技术》", 31 August 2008, 科学技术文献出版社 * |
| 王超: "《人工智能技术及其军事应用》", 31 January 2016, 国防工业出版社 * |
| 邸德海: "《旅游管理信息系统》", 30 September 2000, 南开大学出版社 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119319A (en) * | 2019-03-29 | 2019-08-13 | 北京康爱营养科技股份有限公司 | A kind of Interface Matching method and device |
| CN110008193A (en) * | 2019-04-16 | 2019-07-12 | 成都四方伟业软件股份有限公司 | Data normalization method and device |
| CN110008193B (en) * | 2019-04-16 | 2021-06-18 | 成都四方伟业软件股份有限公司 | Data standardization method and device |
| CN110348974A (en) * | 2019-05-21 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Financial statement treating method and apparatus |
| CN110659287A (en) * | 2019-09-11 | 2020-01-07 | 北京亚信数据有限公司 | Method for processing field names of table and computing equipment |
| CN111079434A (en) * | 2019-12-05 | 2020-04-28 | 苏州朗动网络科技有限公司 | Method, equipment and storage medium for automatic company name mapping |
| CN111079434B (en) * | 2019-12-05 | 2023-10-20 | 企查查科技股份有限公司 | Method, equipment and storage medium for automatically corresponding company name for company short |
| CN111563142A (en) * | 2020-07-14 | 2020-08-21 | 成都四方伟业软件股份有限公司 | SQL automatic benchmarking matching method and device |
| CN113242329A (en) * | 2021-04-30 | 2021-08-10 | 平安证券股份有限公司 | Mapping relation sending method and device based on fuzzy matching and computer equipment |
| CN113242329B (en) * | 2021-04-30 | 2022-03-18 | 平安证券股份有限公司 | Mapping relation sending method and device based on fuzzy matching and computer equipment |
| CN113626671A (en) * | 2021-08-12 | 2021-11-09 | 平安国际智慧城市科技股份有限公司 | Data classification method, device and equipment based on character matching and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109408561A (en) | Business Name matching process and device | |
| CN109634698B (en) | Menu display method and device, computer equipment and storage medium | |
| CN107957992B (en) | Automatic processing method and system for user feedback information | |
| CN110782318A (en) | Marketing method and device based on audio interaction and storage medium | |
| US11019019B2 (en) | Dynamic hashtag ordering based on projected interest | |
| CN105744005A (en) | Client positioning and analyzing method and server | |
| EP3451271A1 (en) | Systems and methods for expediting rule-based data processing | |
| CN110135590B (en) | Information processing method, information processing apparatus, information processing medium, and electronic device | |
| CN110363653A (en) | Financial service request response method, device and electronic device | |
| CN107248042A (en) | Work attendance method, device and server | |
| CN111859154B (en) | Application recommendation method and device | |
| CN110866122B (en) | Method and device for mapping entity words based on knowledge graph | |
| CN109284321A (en) | Data load method, calculates equipment and computer readable storage medium at device | |
| US10880704B2 (en) | Method of exposing a received message, user terminal performing the same and computer readable medium for performing the same | |
| CN118035387A (en) | A data selection and output method and device based on large language model | |
| CN111679919B (en) | Data interaction method, device, equipment and storage medium | |
| CN109493077A (en) | Activity recognition method and device, electronic equipment, storage medium | |
| CN108376320A (en) | Fulfilling data managing method and device | |
| US20250217397A1 (en) | Data query method and apparatus based on large language model, and computer program product | |
| CN112383436B (en) | Network monitoring method and device | |
| CN101546343A (en) | Method, device and system for matching the colors of probes | |
| CN113626570A (en) | A session routing method and device | |
| CN119539320A (en) | An interactive situation detection resource perception and planning method and system | |
| CN115034322B (en) | Data processing method and device and electronic equipment | |
| KR20210115904A (en) | Apparatus for recommending IT infrastructure system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190301 |
|
| RJ01 | Rejection of invention patent application after publication |